LanceDB - LanceDB
lancedb.github.io
LanceDB - LanceDB
The ideal solution for AI-native vectorDB would be something that would would be easy to set up and should integrate with existing APIs for rapid prototyping but should be able to scale without additional changes.
LanceDB is designed with this approach. Being server-less, it requires no setup — just import and start using. Persisted in HDD, allowing... See more
LanceDB is designed with this approach. Being server-less, it requires no setup — just import and start using. Persisted in HDD, allowing... See more
Ayush Chaurasia • LLMs, RAG, & the missing storage layer for AI
Nicolay Gerold added
A serverless vector database
built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability
built from first principles on object storage: 10-100x cheaper, usage-based pricing, massive scalability
turbopuffer
Nicolay Gerold added
VectorDB-recipes
Dive into building GenAI applications! This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects.
Dive into building GenAI applications! This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects.
- These are built using LanceDB, a free, open-source, serverless vectorDB that requires no setup .
- It integrates into python data ecosystem so you can simply start using these
lancedb • GitHub - lancedb/vectordb-recipes: High quality resources & applications for LLMs, multi-modal models and VectorDBs
Nicolay Gerold added
Navigating the terrain of vector databases in 2023 reveals a diverse array of options each catering to different needs. The comparison table paints a clear picture, but here's a succinct summary to aid your decision:
- Open-Source and hosted cloud : If you lean towards open-source solutions, Weviate, Milvus, and Chroma emerge as top contenders. Pinec
Picking a vector database: a comparison and guide for 2023
Nicolay Gerold added
Vector databases can be used to store and serve machine learning models and their corresponding embeddings. The primary application is similarity search (also semantic search),
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
Peter Hagen and added
You’ve got a vector database that has all the right database fundamentals you require, has the right incremental indexing strategy for your use case, has a good story around your metadata filtering needs, and will keep its index up-to-date with latencies you can tolerate. Awesome.
Your ML team (or maybe OpenAI) comes out with a new version of their... See more
Your ML team (or maybe OpenAI) comes out with a new version of their... See more
6 Hard Problems Scaling Vector Search
Nicolay Gerold added
